Hanna Pamula

Signal Processing · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hanna Pamula trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Dan Stowell

Papers from Hanna Pamula's perspective

Ordered by how strongly the researchers Hanna Pamula trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Random Forests
  2. Detection and Classification of Acoustic Scenes and Events
  3. Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection
  4. Predicting good probabilities with supervised learning
  5. An introduction to ROC analysis
  6. Estimating animal population density using passive acoustics (Biological Reviews of The Cambridge Philosophical Society)
  7. Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification
  8. Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning (PeerJ)
  9. Using automated recorders and occupancy models to monitor common forest birds across a large geographic region
  10. Real-time bioacoustics monitoring and automated species identification (PeerJ)

Their papers